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Record W2734192738 · doi:10.18192/uojm.v7i1.1987

Borderline personality disorder: is diagnosis offering service or stigma?

2017· article· en· W2734192738 on OpenAlexaffvenue
Victoria Myers

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPsychologyStigma (botany)HumanitiesPsychoanalysisPsychotherapistPsychiatryPhilosophy

Abstract

fetched live from OpenAlex

Borderline personality disorder (BPD) is a common diagnosis I encountered while on my psychiatry rotation. The stigma surrounding the diagnosis and the negative attitudes of health care professionals towards these patients raised interesting questions regarding the approach to and benefit of formal diagnosis. Through reflection, two important learning points are proposed: be aware of the stigma towards BPD patients and approach each patient with an open mind and a professional attitude, and carefully examine the context of BPD symptoms before attributing a patient’s difficulties to a single diagnosis. RÉSUMÉ Le trouble de la personnalité limite (TPL) est un diagnostic commun que j’ai croisé au cours de mon stage en psychiatrie. La stigmati- sation entourant ce diagnostic et les attitudes négatives des professionnels de la santé face à ces patients soulèvent d’intéressantes questions quant à l’avantage d’établir un diagnostic officiel et l’approche à suivre pour y arriver. À la suite de réflexions, deux éléments importants à retenir sont suggérés : être conscient de la stigmatisation envers les patients avec le TPL et approcher chaque patient avec un esprit ouvert et une attitude professionnelle, et examiner attentivement le contexte entourant les symptômes du TPL avant d’attribuer les difficultés des patients à un seul diagnostic.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.280
Teacher spread0.230 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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